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Security Scan Report: kataclouddaily-dpz8mflvan0o.edgeone.app

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Submitted: Jun 29, 2026, 6:56:50 AMCompleted: Jun 29, 2026, 6:57:59 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is kataclouddaily-dpz8mflvan0o.edgeone.app and was registered NaN years ago.

Submitted URL: https://kataclouddaily-dpz8mflvan0o.edgeone.app/18-facts-about-boxfish-factsnet.html

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk page; likely a legitimate news article with no phishing or malware indicators.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain on edgeone.app with unknown creation date
Safety Factors
No forms that collect credentials or payment data
No malicious external resources or suspicious redirects
Content appears to be a news article about Boxfish
Domain age information unavailable

Details

Page Title

18 Facts About Boxfish - Facts.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kataclouddaily-dpz8mflvan0o.edgeone.app' is registered and includes subdomain 'kataclouddaily-dpz8mflvan0o'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kataclouddaily-dpz8mflvan0o.edgeone.app/18-facts-about-boxfish-factsnet.html

Page Load Overview

2.19s
Total Load Time
12
HTTP Requests
9
Domains
27 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:9,987 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
62%
education learning
54%
documentation technical
51%
adult content
40%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.108.84United States
AS7979Servers.com, Inc.
3142.251.20.95United States
AS15169Google LLC
3101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
3172.67.150.240United States
AS13335Cloudflare, Inc.
124--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5A2E827F7D1331D2A61424E6191B6FFB93D802AE3818CE5B8CE637C97466D7013A798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSChnYf8zX+g7f6hjK49mTfXPzd7TRQwaowOhREZJEaWoNjag4n+Bg:TChnz+g7gjKomLXPz1TRNaTaEZaqNjaf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21380:Aog5hw2CcFIgoCgn1ABhAcgY/AC95guFQBEaC0nAikF8FjRQsgAlgoAQECEnHBRogAgkkICAEBUIc34KAPGgUGART6lBAAAQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:396000017d217d7d
Perceptual Hash:8a6dcbcc9c3c1c9a
Difference Hash:f1cd1101c1c1c9c9
Wavelet Hash:196101017f357d7f
Color Hash:#2d8630

Other Hashes

Crop Resistant:f1cd1101c1c1c9c9

Scan History

Scan history not available

Unable to load historical scan data